Wireless communication node connections

• US 8,526,553 B2
• Filed: 06/08/2009
• Issued: 09/03/2013
• Est. Priority Date: 06/08/2009
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Coldrey, Mikael, Athley, Fredrik, Petersson, Sven Oscar
• Primary Examiner(s): Washburn, Daniel
• Assistant Examiner(s): Tadese, Berhanu
• Application Number:
  US13/376,420
• Publication Number:
  US 20120087450A1
• Time in Patent Office: 1,548 Days
• Field of Search: 375/346, 375/260, 375/267, 343/700, 343/850, 343/770, 343/725, 343/702
• US Class Current: 375/346
• CPC Class Codes: H01Q 21/06 Arrays of individually energised antenna units similarly polarised and spaced apart
• CPC Class Codes: H04B 17/10 of transmitters
• CPC Class Codes: H04B 17/20 of receivers
• CPC Class Codes: H04B 7/04 using two or more spaced independent antennas

Abstract

The present invention relates to a wireless communication node (20A) adapted to via feeder ports be connected to antenna ports. It comprises signal handling and estimating means (21A) adapted to collect signals from a mobile station and to generate a plurality of channel estimates, connection combination information holding means (22A) adapted to hold information about all possible feeder port-antenna port connections, processing means (24A) comprising channel modelling means (23A) adapted to provide a channel model for the received signals. If further comprises channel model fitting means (25A) adapted to compare the channel model with the channel estimates for a plurality of permutations obtained by the connection combination information and order identifying means (26A) adapted to identify the feeder port connection order corresponding to the permutation order giving the best fit between channel model and channel estimates, hence allowing identification of the order in which the feeder ports actually are connected to the antenna ports.

Claims

1. A wireless communication node adapted to be connected to or comprising an antenna part with a plurality of antenna elements and an antenna port for each antenna element, the wireless communication node comprising:

a plurality of feeder ports adapted to be connected to the antenna ports, each antenna port being associated with a unique antenna port identification, and each feeder port being associated with a unique feeder port identification;

a signal handling and estimating unit adapted to collect signals from a mobile station and to, for signals received over antenna ports of a first, same, polarization, generate a plurality of channel estimates;

a connection combination information holding unit adapted to hold information about all possible connections between feeder ports and antenna ports; and

a processing unit comprising or communicating with;

a channel modelling unit adapted to provide a channel model for the signals received over the co-polarized antenna elements;

a channel model fitting unit adapted to compare the channel model with the channel estimates for a plurality of permutations obtained by the connection combination information; and

an order identifying unit adapted to identify the feeder port connection order corresponding to the permutation order giving the best fit between channel model and channel estimates as the current feeder port connection order.

2. The wireless communication node according to claim 1, wherein

the channel model comprises a channel model vector.

3. The wireless communication node according to claim 2, wherein the processing unit is adapted to use the connection combination information to generate permutations of the channel model vector to normalize the permutation of the channel model vector and to fit the normalized permutations of the channel model vector to the channel estimates.

4. The wireless communication node according to claim 3, wherein

the channel estimating unit or the processing unit is adapted to normalize the channel estimates and in that the normalized permutations of the channel model vector are fitted to the normalized channel estimates.

5. The wireless communication node according to claim 1,

wherein the processing unit is adapted to use the connection combination information to generate permutations of the channel estimates, to normalize the permutations of the channel estimates and to fit the channel model to the normalized permutations of the channel estimates.

6. The wireless communication node according to claim 5, wherein

the signal modelling unit or the processing unit is adapted to normalize the channel model vector and to fit the normalized channel model vector to the normalized permutations of the channel estimates.

7. The wireless communication node according to claim 3, wherein

the processing unit is adapted to identify a permutation order corresponding to the current order in which the feeder ports are connected to the antenna ports arranged in a given, consecutive, order.

8. The wireless communication node according to claim 5, wherein

the processing unit comprises a model fitting unit adapted to evaluate an error function for each permutation and to minimize said error functions over all permutations.

9. The wireless communication node according to claim 8, wherein

the error function comprises a Least Squares calculation.

10. The wireless communication node according to claim 8, wherein

the error function comprises a weighted Least Squares calculation and in that different weights are applied to different channel snapshots and that higher weights are applied to channel snapshots for which the signal to noise ratio is high or exceeds a predetermined value or that it is adapted to implement a predetermined weighting function.

11. The wireless communication node according to claim 1, wherein

the node further comprises a polarization analyzing unit adapted to determine which of the feeder ports are associated with one and the same polarization.

12. The wireless communication node according to claim 11, wherein

the polarization analyzing unit is adapted to analyze moduli of correlation coefficients to distinguish feeder port pairs having a high correlation by comparing each correlation coefficient modulus with a predetermined threshold value, Δ

_thr, so defined that if |ρ

_ij|>

Δ

_thr, ρ

_ij=1, otherwise ρ

_ij=0, for i=1, . . . , K and j=1, . . . , i−

1, and to identify all pairs of indices {i, j} for which , ρ

_ij=1, comprising pairs of feeder ports having the same polarization, and ρ

_ij=0 relating to pairs of feeder ports having different polarizations.

13. The wireless communication node according to claim 1, wherein the node further comprises a reliability decision unit adapted to determine if the identified current feeder port connection order has a reliability which is sufficient according to a given reliability criterion based on the corresponding calculated fit, and if not, to activate collection of or use of additional, new, channel data and/or more taps to obtain further channel estimates and to perform fitting using said new data until reliability is considered to meet the reliability condition.

14. The wireless communication node according to claim 13, wherein

the reliability decision unit comprises a reliability threshold handling unit adapted to hold or receive a resettable reliability threshold value representing the reliability condition to be met.

15. The wireless communication node according to claim 1, wherein

the processing unit is adapted to fit the channel model to the channel estimates for a number of permutations being N!/2, wherein N! corresponds to the total number of permutations, i.e. connection combinations.

16. A method for, in a wireless communication node connected to or comprising an antenna part with a plurality of antenna elements associated with respective antenna ports, determining connection combinations between the antenna ports and feeder ports of the wireless communication node, each antenna port being associated with a unique antenna port identification or order number and each feeder port being associated with a unique feeder port identification, wherein an uplink signal is received over the antenna elements from a mobile station, the method comprising:

performing a channel estimation using a known reference signal to obtain channel estimates;

finding all possible combinations of antenna port and feeder port connections or all possible permutations (N!);

providing or generating, by means of a modeling function, a channel model for a signal received from the mobile station,

for a plurality of permutations;

fitting, for the said plurality of permutations, the channel model to the channel estimates;

identifying the feeder port order corresponding to the permutation giving the best fit between channel model and channel estimate as current feeder port connection order.

17. The method according to claim 16, wherein

the channel model comprises a channel model vector and in that the method comprises the step of, before the fitting step:

generating said plurality of permutations by permuting the channel model vector;

normalizing the permutations of the channel model vector;

and the fitting steps comprises;

using the normalized permutations of the channel model.

18. The method according to claim 17, wherein the fitting step comprises using normalized channel estimates.

19. The method according to claim 16, further comprising

performing or generating permutations of the channel estimates;

normalizing the permutations of the channel estimates;

and the fitting step comprises;

fitting the channel model vector to the normalized permutations of the channel estimates.

20. The method according to claim 19, wherein the method further comprises normalizing the channel model vector before the fitting step;

and

the fitting step comprises fitting the normalized channel model vector to the normalized permutations of the channel estimates.

21. The method according to claim 16,

wherein the fitting step comprises:

applying an error function to each of a number of channel snapshots, and

minimizing the error function for each permutation to find the permutation for which the best fit is obtained.

22. The method according to claim 21, wherein

the step of applying the error function comprises using a weighted Least Square algorithm, and

applying different weighting factors to different channel snapshots by applying larger weights to channel snapshots having a high signal-to-noise ratio and smaller weights to channels having a low signal-to-noise ratio or by applying a predetermined weighting function.

23. The method according to claim 16, further comprising:

determining, in a polarization analyzing step, which feeder ports are associated to one and the same polarization; and

determining current feeder port order separately for each polarization.

24. The method according to claim 16, further comprising:

determining if an identified current feeder port connection order has a reliability which is sufficient according to a predetermined criterion;

if not,

collecting new additional channel data, to obtain further channel estimates, and repeating the fitting step based on said further channel estimates until the reliability is determined to meet the predetermined criterion.